DGB has complex challenges that needs to be solved to improve the quality of life of its customer across globe. If you are interested in using the disruptive technology of Machine/Deep/Reinforcement learning to transform the established industry and build cool product, then “let’s get talking”. The AI development group at DGB is looking for technology thought leaders who are highly technical, hands-on and ready to lead from front.
DGB is looking for an Angular Developer responsible for the client side of our service. Your primary focus will be to implement a complete user interface in the form of a mobile and desktop web app, with a focus on performance. Your main duties will include creating modules and components and coupling them together into a functional app. The artistic design will be delivered to you, together with a few HTML templates, but we will ask for your help in regard to animations, CSS, and final HTML output. You will work in a team with the back-end developer, and communicate with the API using standard methods. A thorough understanding of all of the components of our platform and infrastructure is required.
Quantitative risk assessment is a fundamental action to ensure safe operation of critical high-tech systems. The increased constraints imposed by international standards together with the ever-growing penetration of AI components in high-tech systems make rigorous and powerful risk assessment more important than ever. Various techniques have been developed throughout the years to analyze the safety and reliability of systems. One of the most relevant is Fault Tree Analysis (FTA). Every day, millions of engineers are using fault trees to model their systems and analyze the probability of failures. FTA is applied to many safety-critical systems and their use is required for instance by the Federal Aviation Authority (FAA) and the Nuclear Regulatory Commission (NRC) USA, in ISO 26262 for autonomous driving or for software development in aerospace systems (by NASA and ESA). While fault trees are easy to understand and thus, widely used, their modelling capabilities are severely limited. This lack of flexibility hinders accurate and precise modelling of real-life systems e.g., self-driving cars, hyperloops and drones.. To overcome these drawbacks, several extensions of fault trees have been proposed in the last decades. Dynamic fault trees (DFT) are a prominent extension of fault trees overcoming these limitations. DFTs have been co-developed by NASA Formal Methods group to model more complex behaviors and dependability patterns. While fault tree models represent how failures occur at system component level and how they propagate through sub-systems, eventually leading to system level failures, their analysis focuses on computing various dependability metrics, i.e. key performance indicators that measure how well a system performs. Standard metrics are the system reliability (i.e. the probability that no failure occurred until time T), the availability (i.e. the average percentage of time that a system is operational), the mean time to failure, the mean time between failures, the criticality of components (i.e. to what extent does a component failure contribute to a system failure) etc. Various extensions include the cost and impact of failures.
We at DGB Technologies, in collaboration with MOVES group at RWTH Aachen University Germany and FMT group at Twente University The Netherlands, are building tools for the modeling and quantitative analysis of real-life high-tech systems based on probabilistic model-checking techniques. If you are willing to work on cutting edge technologies and have experience in tool building used in performance, reliability and safety analysis of complex systems, this is a right opportunity for.
We are looking for a Python Web Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application; therefore, a basic understanding of front-end technologies is necessary as well.
We are building a team of experts to develop a powerful information architecture and business intelligence suite that gives you the power to collect/process data from multiple sources simultaneously and create virtualized views, custom visualizations and dashboards, for solving complex business problems through AI/ML and Formal Methods techniques.